Apache Karaf 2.2.9

The Apache Karaf team is proud to announce a new version on the Karaf 2.2.x branch.

The 2.2.9 version is a major bug fixes release.

We fixed 52 issues in this release, and we are inline with our release cycle (around every 2 months).

Especially, it includes:

  • Work with the latest JRE/JDK 1.6.0 and 1.7.0 updates: some changes in the Java Virtual Machine resulted to issues in previous Karaf releases. It’s now fixed in Karaf 2.2.9, allowing Karaf to work with Java 1.6.0_33 or 34 for instance, but fixed in Karaf itself and an upgrade to Aries Proxy 0.3.1.
  • New OSGi frameworks: this release upgrade to the latest minor versions of the OSGi frameworks, especially Apache Felix Framework 3.2.2.
  • Dependencies minor version updates: in order to fix several minor issues, some dependencies have been upgraded (javax.mail 1.4.5, ServiceMix bundles, etc).
  • Stopping the shell console doesn’t stop the OSGi framework: previously, when you stopped the Karaf shell console bundle, it also stopped the OSGi framework. No, the bundles are no more coupled, allowing you to stop the shell console but let your application bundles running in the OSGi framework.
  • MBeans and shell commands are consistent: some options present in the shell commands (for instance, -c and -r options in features:install command) were not present for the same action using MBeans. Now, you can find the same options in both commands and MBeans.
  • Features installation optimisation: Karaf now avoid to resolve the same bundles many times when installing features in cascade. It improves the features installation time.

You can have more information and download this release here:

http://karaf.apache.org/index/community/download/karaf-2.2.9-release.html

Now, we are working on Karaf 2.3.0 and 3.0.0-RC1. Karaf 2.3.0 should arrive very soon.

Comments

Post a Comment

Popular posts from this blog

Exposing Apache Karaf configurations with Apache Arrow Flight

Image
This blog post shows how to use Apache Arrow and Arrow Flight in Apache Karaf runtime. The code base is available here: https://github.com/jbonofre/karaf-arrow . Apache Arrow ? Apache Arrow is composed by: The Arrow format (specification). Format implementations with different languages (C, Java, Go, Rust, ...). Extra subprojects like Flight, Flight SQL, ADBC, nanoarrow, ... Apache Arrow format is a in-memory columnar format, super efficient for scanning and iterating a large chunks of data. In traditional memory buffer, we focus on "row". Apache Arrow format "groups" data per column, which is much more efficient on modern CPUs/GPUs. The Apache Arrow format is basically a specification. We have several implementations for this specification: C C++ C# Go Java Python Ruby Rust As the purpose of this blog post is to show Apache Arrow in Apache Karaf, we will use Arrow Java. In addition, Apache Arrow also provides several...
Read more

Getting started with Apache Karaf Minho

Image
Apache Karaf Minho Apache Karaf Minho is a new runtime, completely created from scratch. The objectives are: super easy to use and run ligtning fast, including GraalVM support Kubernetes compliant to be easily used on the cloud helping to optimize cloud costs by supporting applications colocation providing turnkey services allowing you to create Minho applications in a minute Minho is composed by: minho-boot is the core of Minho. It contains the runtime launcher and the core services (service registry, lifecycle service, configuration service, ...). minho-* services provided additional functionnalities in the runtime. You can use these services to create your own services, it's also where you will find the services managing sepcific kind of applications, allowing colocation. minho-tooling optionally provide convenient tools to create your own runtime. It includes minho-maven-plugin for instance. In this blog post, we will take a quick tour on A...
Read more

Using Apache Karaf with Kubernetes

Image
In a previous blog post ( http://blog.nanthrax.net/?p=893 ), I introduced the “new” docker support in Karaf and the use of Karaf static distribution. This post follows the previous one by illustrating how to use Karaf docker image with a Kubernetes cluster. Preparing Karaf static docker image As in the previous blog post, we are preparing a Karaf static distribution based docker image. For this blog post, I’m using the example provided in Karaf: https://github.com/apache/karaf/tree/master/examples/karaf-docker-example/karaf-docker-example-static-dist . I’m just building the distribution as usual: karaf-docker-example-static-dist$ mvn clean install Preparing kubernetes testing cluster For this blog, I’m using a minikube installed locally. The installation is pretty simple: Download minikube from https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64 Rename minikube-linux-amd64 as minikube Copy minikube in your path, for instance /us...
Read more